Academic Positions (Position Club)
#PhD #Postdoc Michigan State University Topic: Machine Learning, Natural Language Processing, Information extraction, Combining vision and language, Grounding, and Declarative Learning-based Programming https://hlr.github.io/openings/ 🙏 Thanks to "Roshanak"…
اطلاعات بیشتر:
👤 @rshnkmirzaee
👤 @rshnkmirzaee
#fund #position #phd
PhD positions in Computer Engineering at University of Pittsburgh (Pitt) are available at Fall 2020 to work in Data Science Lab with Dr. Heng Huang. Desirable applicants should have BS or above degrees in Computer Science, Electrical Engineering, Automation, Mathematics, Statistics or other related fields, and STRONG motivation toward high quality research in Machine Learning, Big Data Mining, Computer Vision, Bioinformatics, Medical Image Computing.
Dr. Huang's lab is one of the top machine learning and data science research groups in the world and published more than 200 papers in top conferences, such as NeurIPS, ICML, KDD, ICCV, CVPR, etc. Please check the top-tier research work in Dr. Huang's group by: pitt.edu/~heh45/
🎓 @UTApply 🎓
The best computer science research works are mainly published in the top conferences. Please check: csrankings.org/ as a good reference. Machine Learning and data science are the hottest research areas in both academia and industry now. The students graduated from Dr. Huang’s lab can find the R&D positions at the top companies or faculty positions at elite universities. For example, this year Dr. Huang’s student became a tenure-track assistant professor at Purdue University Computer Engineering.
Based on the 2020 U.S. News & World Report, the University of Pittsburgh is ranked as 43rd best in the world. Pitt Computer Engineering ranking is 40. Pittsburgh has moved from heavy industry to medicine, high-tech, green energy, and is now home to major high-tech companies — Google, Apple, Bosch, Uber, Facebook, Nokia, IBM, many others, and especially is the de facto capital for self-driving car development. Pittsburgh ranked 3rd best city in America to live (by WalletHub).
Interested applicants please send your CVs to Dr. Heng Huang (heng.huang@pitt.edu) directly.
✈️ @UTAbroad ✈️
PhD positions in Computer Engineering at University of Pittsburgh (Pitt) are available at Fall 2020 to work in Data Science Lab with Dr. Heng Huang. Desirable applicants should have BS or above degrees in Computer Science, Electrical Engineering, Automation, Mathematics, Statistics or other related fields, and STRONG motivation toward high quality research in Machine Learning, Big Data Mining, Computer Vision, Bioinformatics, Medical Image Computing.
Dr. Huang's lab is one of the top machine learning and data science research groups in the world and published more than 200 papers in top conferences, such as NeurIPS, ICML, KDD, ICCV, CVPR, etc. Please check the top-tier research work in Dr. Huang's group by: pitt.edu/~heh45/
🎓 @UTApply 🎓
The best computer science research works are mainly published in the top conferences. Please check: csrankings.org/ as a good reference. Machine Learning and data science are the hottest research areas in both academia and industry now. The students graduated from Dr. Huang’s lab can find the R&D positions at the top companies or faculty positions at elite universities. For example, this year Dr. Huang’s student became a tenure-track assistant professor at Purdue University Computer Engineering.
Based on the 2020 U.S. News & World Report, the University of Pittsburgh is ranked as 43rd best in the world. Pitt Computer Engineering ranking is 40. Pittsburgh has moved from heavy industry to medicine, high-tech, green energy, and is now home to major high-tech companies — Google, Apple, Bosch, Uber, Facebook, Nokia, IBM, many others, and especially is the de facto capital for self-driving car development. Pittsburgh ranked 3rd best city in America to live (by WalletHub).
Interested applicants please send your CVs to Dr. Heng Huang (heng.huang@pitt.edu) directly.
✈️ @UTAbroad ✈️
Forwarded from Academic Positions (Position Club) (Ali)
🎓 @UTApply 🎓
#fund #position #phd #CS #US
Deadline: December 13
1. http://users.umiacs.umd.edu/~hal/
2. http://users.umiacs.umd.edu/~mmazurek/
3. https://www.cs.umd.edu/~dml/
✈️ @UTAbroad ✈️
Deadline: December 15
4. https://nathandautenhahn.com/
5. https://ix.cs.uoregon.edu/~lijun/
6. https://sites.cs.ucsb.edu/~trinabh/
7. https://www.ics.uci.edu/~alfchen/
8. https://www.cs.ucr.edu/~zhiyunq/
#fund #position #phd #CS #US
Deadline: December 13
1. http://users.umiacs.umd.edu/~hal/
2. http://users.umiacs.umd.edu/~mmazurek/
3. https://www.cs.umd.edu/~dml/
✈️ @UTAbroad ✈️
Deadline: December 15
4. https://nathandautenhahn.com/
5. https://ix.cs.uoregon.edu/~lijun/
6. https://sites.cs.ucsb.edu/~trinabh/
7. https://www.ics.uci.edu/~alfchen/
8. https://www.cs.ucr.edu/~zhiyunq/
🎓 @UTApply 🎓
#fund #position #postdoc
Hi Friends/Colleagues,
I have funding for a 2 year postdoctoral position (with the possibility of extending that) in my lab at UNC beginning Summer or Fall 2020. The specific start date is flexible. The position is to work on a longitudinal study characterizing trajectories of brain development in youth with ADHD. We're looking for someone with strong computational and image analysis skills. I've attached the ad with more details.
If you know of anyone who may be interested, please forward this along.
Thank you,
Jessica
--
Jessica R. Cohen, Ph.D.
Assistant Professor | Psychology and Neuroscience
University of North Carolina at Chapel Hill
335A Davie Hall | Chapel Hill, NC 27599
919.843.2664 | jrcohen@unc.edu
http://cohenlab.web.unc.edu
✈️ @UTAbroad ✈️
#fund #position #postdoc
Hi Friends/Colleagues,
I have funding for a 2 year postdoctoral position (with the possibility of extending that) in my lab at UNC beginning Summer or Fall 2020. The specific start date is flexible. The position is to work on a longitudinal study characterizing trajectories of brain development in youth with ADHD. We're looking for someone with strong computational and image analysis skills. I've attached the ad with more details.
If you know of anyone who may be interested, please forward this along.
Thank you,
Jessica
--
Jessica R. Cohen, Ph.D.
Assistant Professor | Psychology and Neuroscience
University of North Carolina at Chapel Hill
335A Davie Hall | Chapel Hill, NC 27599
919.843.2664 | jrcohen@unc.edu
http://cohenlab.web.unc.edu
✈️ @UTAbroad ✈️
Texas A&M #extension
I wanted to reach out to you to let you know that we are aware of the difficulties regarding shutdown of the internet in Iran, and in particular, how this may affect students applying to graduate school here at Texas A&M. The College of Engineering Graduate Program office discussed this matter with all of the engineering department Graduate Program Office Directors and Advisors this past Wednesday afternoon.
Please note that all of our graduate program offices are willing to be flexible in working with students from Iran who may be adversely affected by the shutdown.
Graduate admission application deadlines vary by department/program, depend on the starting semester (Spring 2020, Fall 2020), and may be different for international and domestic (U.S.) students.
Two documents are attached with information that can be distributed as may be possible:
(1) A listing of the Engineering Graduate Program Advisors (with phone numbers included)
(2) A listing of application deadline details for engineering graduate programs.
Also, I have pasted in below an email that was recently distributed by Mr. Bill Taylor, Director, Texas A&M office of International Student Services, which contains a lot of helpful information.
I wanted to reach out to you to let you know that we are aware of the difficulties regarding shutdown of the internet in Iran, and in particular, how this may affect students applying to graduate school here at Texas A&M. The College of Engineering Graduate Program office discussed this matter with all of the engineering department Graduate Program Office Directors and Advisors this past Wednesday afternoon.
Please note that all of our graduate program offices are willing to be flexible in working with students from Iran who may be adversely affected by the shutdown.
Graduate admission application deadlines vary by department/program, depend on the starting semester (Spring 2020, Fall 2020), and may be different for international and domestic (U.S.) students.
Two documents are attached with information that can be distributed as may be possible:
(1) A listing of the Engineering Graduate Program Advisors (with phone numbers included)
(2) A listing of application deadline details for engineering graduate programs.
Also, I have pasted in below an email that was recently distributed by Mr. Bill Taylor, Director, Texas A&M office of International Student Services, which contains a lot of helpful information.
🎓 @UTApply 🎓
#fund #position #phd
From January 2020, I will transition to the Electrical and Computer Engineering Department of the University of British Columbia in Vancouver, Canada. I welcome M.Sc. and Ph.D. applications from students with a strong background in #mathematics (analysis, algebra, probability). If you are interested, please apply to UBC ECE graduate program.
http://people.ee.ethz.ch/~maryamk
✈️ @UTAbroad ✈️
#fund #position #phd
From January 2020, I will transition to the Electrical and Computer Engineering Department of the University of British Columbia in Vancouver, Canada. I welcome M.Sc. and Ph.D. applications from students with a strong background in #mathematics (analysis, algebra, probability). If you are interested, please apply to UBC ECE graduate program.
http://people.ee.ethz.ch/~maryamk
✈️ @UTAbroad ✈️
🎓 @UTApply 🎓
#fund #position (part 1)
Several fully-funded #PhD positions are available at the Distributed, Intelligent, and Scalable COmputing (DISCO) Lab (http://www.drexel-disco.com), Department of Electrical and Computer Engineering, Drexel University, USA.
These positions are open for appointment from Fall, 2020 or sooner.
The research will focus on hardware (analog and mixed signal design) and software (programming language, compilers, and run-time resource allocation) for neuromorphic computing. The positions are related to large innovation projects from the National Science Foundation (NSF) and the National Institute of Health (NIH). Research activities will be conducted in close collaboration with European Universities and institutions, and will include internships and visits to these organization, in each year of PhD.
Concretely, we are looking for applicants with a strong background and interest in one (or all) of the following:
NC0038: Compiler, Architecture, and Synthesis of Neuromorphic Architectures:
Executing a program on a computer involves several steps: compilation, resource allocation, and run-time mapping. Although very well defined for mainstream computers, no prior work has investigated these steps in a systematic manner for neuromorphic systems. This project will develop compiler tool chains to translate a user’s machine learning program to low-level languages that can be interpreted by neuromorphic systems. A key initiative will be to develop a common representation across different platforms. Resource optimization strategies will be developed to improve program performance; as well as an Operating System like framework that will allow programmers to easily deploy their machine learning programs on neuromorphic systems.
Required/desired skills: Familiarity with computer architectures, operating systems, object-oriented programming and data structures will be required. Familiarity or interest in compiler design will be helpful for the project.
NC0039: Design Optimizations with Non-Volatile Memory Technologies:
Non-volatile memory (NVM) technology can improve performance of the neuromorphic architecture, thanks to their low latency, low power, and high integration density. However, they present new challenges to the design of neuromorphic architecture. In particular, NVM operates as resistive memory with synaptic weights encoded as resistances. Neuron outputs are represented as voltage, computed using the weighted sum of the current times the resistance. This project will optimize the design of neuromorphic computing with non-volatile memory technologies, including understanding their electrical characteristics through SPICE-level simulations in scaled PDKs.
Required/desired skills: Some familiarity with analog and mixed signal designs, device-level, circuit-level or system-level modeling will be useful.
✈️ @UTAbroad ✈️
👉🏻 part 2: t.me/UTApply/624
#fund #position (part 1)
Several fully-funded #PhD positions are available at the Distributed, Intelligent, and Scalable COmputing (DISCO) Lab (http://www.drexel-disco.com), Department of Electrical and Computer Engineering, Drexel University, USA.
These positions are open for appointment from Fall, 2020 or sooner.
The research will focus on hardware (analog and mixed signal design) and software (programming language, compilers, and run-time resource allocation) for neuromorphic computing. The positions are related to large innovation projects from the National Science Foundation (NSF) and the National Institute of Health (NIH). Research activities will be conducted in close collaboration with European Universities and institutions, and will include internships and visits to these organization, in each year of PhD.
Concretely, we are looking for applicants with a strong background and interest in one (or all) of the following:
NC0038: Compiler, Architecture, and Synthesis of Neuromorphic Architectures:
Executing a program on a computer involves several steps: compilation, resource allocation, and run-time mapping. Although very well defined for mainstream computers, no prior work has investigated these steps in a systematic manner for neuromorphic systems. This project will develop compiler tool chains to translate a user’s machine learning program to low-level languages that can be interpreted by neuromorphic systems. A key initiative will be to develop a common representation across different platforms. Resource optimization strategies will be developed to improve program performance; as well as an Operating System like framework that will allow programmers to easily deploy their machine learning programs on neuromorphic systems.
Required/desired skills: Familiarity with computer architectures, operating systems, object-oriented programming and data structures will be required. Familiarity or interest in compiler design will be helpful for the project.
NC0039: Design Optimizations with Non-Volatile Memory Technologies:
Non-volatile memory (NVM) technology can improve performance of the neuromorphic architecture, thanks to their low latency, low power, and high integration density. However, they present new challenges to the design of neuromorphic architecture. In particular, NVM operates as resistive memory with synaptic weights encoded as resistances. Neuron outputs are represented as voltage, computed using the weighted sum of the current times the resistance. This project will optimize the design of neuromorphic computing with non-volatile memory technologies, including understanding their electrical characteristics through SPICE-level simulations in scaled PDKs.
Required/desired skills: Some familiarity with analog and mixed signal designs, device-level, circuit-level or system-level modeling will be useful.
✈️ @UTAbroad ✈️
👉🏻 part 2: t.me/UTApply/624